Which measure of central tendency is best for nominal data?
the mode
If the variable is nominal, obviously the mode is the only measure of central tendency to use. If the variable is ordinal, the median is probably your best bet because it provides more information about the sample than the mode does.
What statistical measurement is appropriate for nominal data?
The mode, mean, and median are three most commonly used measures of central tendency. However, only the mode can be used with nominal data. To get the median of a data set, you have to be able to order values from low to high.
Which of the following measures of central tendency is the most appropriate when the type of data is interval or ratio?
Mean
Mean. The most commonly used measures of central tendency, and the one you’ve always heard called the average, is what we call in statistics the mean. It is appropriate to use when the variable is at the interval or ratio level of measurement.
Is the appropriate measure of central tendency for nominal variables?
The best measure of central tendency to use for nominal variables is mode. If your variable is ordinal (i.e., it has an order or ranking) then the most useful measure is median. This is because the median gives you a sense of how the data falls on its particular scale.
How do you find the measures of central tendency?
The arithmetic mean of a dataset (which is different from the geometric mean) is the sum of all values divided by the total number of values. It’s the most commonly used measure of central tendency because all values are used in the calculation. Then you calculate the mean using the formula ⅀x/n.
What are nominal measurements?
A Nominal Scale is a measurement scale, in which numbers serve as “tags” or “labels” only, to identify or classify an object. This measurement normally deals only with non-numeric (quantitative) variables or where numbers have no value.
How do you know which measure of center is most appropriate?
The median is generally a better measure of the center when there are extreme values or outliers because it is not affected by the precise numerical values of the outliers. The mean is the most common measure of the center.